View source for Definition:Modeled loss trigger

🎯 '''Modeled loss trigger''' is an activation mechanism used in [[Definition:Insurance-linked security (ILS) | insurance-linked securities]] and certain [[Definition:Reinsurance | reinsurance]] contracts that bases the payout on losses estimated by an independent [[Definition:Catastrophe model | catastrophe model]] rather than on the [[Definition:Cedent | cedent's]] actual incurred losses or a simple [[Definition:Parametric trigger | parametric]] measurement. When a covered event occurs — such as a [[Definition:Hurricane | hurricane]] or [[Definition:Earthquake | earthquake]] — the designated modeling firm runs the event's physical parameters through its platform to produce an estimated industry or portfolio loss figure, and the contract pays out if that modeled result exceeds a predetermined threshold.

🔬 The process begins well before any event strikes. At the contract's inception, the sponsor and investors agree on a specific model, model version, and [[Definition:Exposure data | exposure]] dataset — often a standardized industry portfolio — that will serve as the benchmark. After a qualifying event, the modeling agency (such as [[Definition:Moody's RMS | Moody's RMS]], [[Definition:Verisk | Verisk]], or [[Definition:CoreLogic | CoreLogic]]) ingests observed event parameters — wind speeds, storm surge, ground motion — and calculates what the losses would be against the agreed exposure set. This output, rather than any individual company's [[Definition:Claims management | claims]] tally, determines whether and how much the contract pays. The approach reduces [[Definition:Moral hazard | moral hazard]] and speeds settlement because neither party needs to wait for the lengthy process of actual loss adjustment.

💡 Modeled loss triggers occupy a middle ground between [[Definition:Indemnity trigger | indemnity triggers]], which reimburse exact losses but introduce [[Definition:Basis risk | basis risk]] from slow reporting, and pure [[Definition:Parametric trigger | parametric triggers]], which pay based solely on physical measurements but may diverge from real economic damage. Investors in [[Definition:Catastrophe bond | catastrophe bonds]] often favor modeled triggers because they offer greater transparency and objectivity than indemnity structures while remaining more closely correlated with actual losses than simple parametric designs. The trade-off is [[Definition:Model risk | model risk]] itself — the possibility that the chosen model inadequately represents the true loss potential — which is why [[Definition:Model governance | model governance]], version control, and trigger documentation receive intense scrutiny from [[Definition:Rating agency | rating agencies]] and [[Definition:Institutional investor | institutional investors]] alike.

'''Related concepts'''
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* [[Definition:Catastrophe bond]]
* [[Definition:Parametric trigger]]
* [[Definition:Indemnity trigger]]
* [[Definition:Industry loss index trigger]]
* [[Definition:Basis risk]]
* [[Definition:Catastrophe model]]
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